Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Variable density linear acoustic inverse problem

M Moghaddam1, W C Chew

  • 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109, USA.

Ultrasonic Imaging
|July 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Group O blood donors in Iran: evaluation of isoagglutinin titers and immunoglobulin G subclasses.

Immunohematology·2021
Same author

Physics-Based Haptic Simulation of Bone Machining.

IEEE transactions on haptics·2016
Same author

Prevalence and specificities of red cell alloantibodies in transfusion-dependent beta thalassemia patients in Yazd.

Iranian journal of pediatric hematology and oncology·2015
Same author

Targeting fibroblast-like synovial cells at sites of inflammation with peptide targeted liposomes results in inhibition of experimental arthritis.

Clinical immunology (Orlando, Fla.)·2014
Same author

Laboratory evaluation of five chitin synthesis inhibitors against the colorado potato beetle, Leptinotarsa decemlineata.

Journal of insect science (Online)·2010
Same author

Studies on correlations among parasitaemia and some hemolytic indices in two tropical diseases (theileriosis and anaplasmosis) in Fars province of Iran.

Tropical animal health and production·2008
Same journal

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Ultrasonic imaging·2026
Same journal

Hybrid Physics-Driven Deep Learning for Enhanced Ultrasound Image Quality and Speckle Noise Suppression.

Ultrasonic imaging·2026
Same journal

Application of Super-Resolution Ultrasound Contrast Imaging in Differentiating Benign From Malignant Breast Tumors.

Ultrasonic imaging·2026
Same journal

A Novel Preprocessing Method for Common Carotid Artery Ultrasound Images Based on Phase Asymmetry Metric and Non-subsampled Shearlet Transform.

Ultrasonic imaging·2026
Same journal

Generalized Null Subtraction Factor: A Post-Filtering Framework for Contrast Enhancement in Ultrafast Ultrasound Imaging.

Ultrasonic imaging·2026
Same journal

Fourier Beamforming of Ultrasound Signals From Chirp Transmits Using the Chirp Scaling Algorithm.

Ultrasonic imaging·2026
See all related articles

This study reconstructs object density and compressibility simultaneously using diffraction tomography and frequency diversity. A regularization method improves accuracy, yielding good results for low-contrast objects.

Area of Science:

  • Acoustic inverse problems
  • Diffraction tomography
  • Wave scattering

Background:

  • Solving the linear acoustic inverse problem for material properties like density and compressibility is challenging.
  • Traditional methods may struggle with simultaneous reconstruction of both parameters.

Purpose of the Study:

  • To develop a method for simultaneously reconstructing object density (rho) and compressibility (kappa).
  • To utilize frequency diversity and diffraction tomography principles for improved inverse problem solutions.

Main Methods:

  • Employed diffraction tomography (DT) principles with plane wave incidence and far-field receivers.
  • Utilized frequency diversity to obtain independent measurements.
  • Applied the Born approximation to relate pressure fields to spatial Fourier transforms of density and compressibility.

Related Experiment Videos

  • Solved a least squares problem using multi-frequency data.
  • Developed a regularization method to address inaccuracies from low spatial frequencies.

    • Main Results:

    • Successfully reconstructed both density and compressibility simultaneously.
    • Identified inaccuracies caused by low spatial frequencies in object spectra.
    • Demonstrated significant improvement in reconstruction quality after applying regularization.
    • Achieved good reconstructions for low-contrast objects.

    Conclusions:

    • Frequency diversity is key for simultaneous density and compressibility reconstruction in acoustic inverse problems.
    • Regularization is essential to mitigate inaccuracies and achieve reliable results.
    • The developed method shows promise for accurate material property imaging.